metadata

base_model:
  - teknium/OpenHermes-2.5-Mistral-7B
  - nlpguy/Hermes-low-tune-2
  - charlesdedampierre/TopicNeuralHermes-2.5-Mistral-7B
  - openaccess-ai-collective/openhermes-2_5-dpo-no-robots
  - flemmingmiguel/Mistrality-7B
  - beowolx/MistralHermes-CodePro-7B-v1
tags:
  - mergekit
  - merge
license_name: apache-2.0-mit-dual-license
license_link: https://huggingface.co/nlpguy/Hermes-low-tune-3.1/raw/main/LICENSE

merged

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the task arithmetic merge method using teknium/OpenHermes-2.5-Mistral-7B as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

base_model: teknium/OpenHermes-2.5-Mistral-7B
dtype: bfloat16
merge_method: task_arithmetic
slices:
- sources:
  - layer_range: [0, 32]
    model: teknium/OpenHermes-2.5-Mistral-7B
  - layer_range: [0, 32]
    model: nlpguy/Hermes-low-tune-2
    parameters:
      weight: 0.2
  - layer_range: [0, 32]
    model: beowolx/MistralHermes-CodePro-7B-v1
    parameters:
      weight: 0.2
  - layer_range: [0, 32]
    model: flemmingmiguel/Mistrality-7B
    parameters:
      weight: 0.2
  - layer_range: [0, 32]
    model: charlesdedampierre/TopicNeuralHermes-2.5-Mistral-7B
    parameters:
      weight: 0.2
  - layer_range: [0, 32]
    model: openaccess-ai-collective/openhermes-2_5-dpo-no-robots
    parameters:
      weight: 0.2